Senior Analytics Engineer

OEC; Polska; Remote; PLN 170,000 - 260,000; Full time

Job summary

OEC is seeking a Senior Analytics Engineer to own critical areas of the dbt project and ensure clean Snowflake data assets. You will lead by example, mentor peers, and collaborate with data scientists, product managers, and engineers to deliver reliable, well-documented analytics assets.

You will champion AI-assisted workflows and contribute to scalable, governance-focused data models. The role is fully remote with quarterly in-person meetings, offering opportunities across the automotive parts

Qualifications

• 5+ years in analytics engineering, data engineering, or related data role.
• Expert-level dbt skills with layered modeling, testing, and CI/CD integration.
• Deep Snowflake expertise: query optimization, materialization, and access control.
• Advanced SQL and data modeling knowledge.
• Experience with BI semantic layers and tools (Sigma, Looker, Tableau or Power BI).
• Strong written and verbal English communication.

Responsibilities

• Design, build, and maintain modular dbt models following layered architecture.
• Own model performance: optimize Snowflake queries and configure materializations.
• Evolve dbt best practices: testing, documentation, and source freshness checks.
• Code reviews for dbt PRs and establish modeling conventions.
• Collaborate with Data Scientists, Product Managers, and Engineers to turn data into reliable assets.
• Mentor Associate and mid-level Analytics Engineers through reviews and knowledge sharing.
• Define team conventions around naming, folder structure, model contracts, and testing thresholds.

Skills

5+ years in analytics engineering

dbt expert

Advanced SQL

Data modeling

English communication

Tools

dbt Cloud

Snowflake

Looker

Tableau

Power BI

Sigma

Job description

As a Senior Analytics Engineer at OEC, you will be the backbone of our data layer - designing, building, and maintaining the models that power business decisions across the company. You will own critical areas of our dbt project, ensure Snowflake data assets are clean and trusted, and bring a modern, AI-assisted mindset to how we build and ship analytics.

This is a senior individual contributor role. You will lead by example, set standards, mentor peers, and collaborate closely with Data Scientists, Product Managers, and Engineers to turn raw data into reliable, documented, and governed analytical assets.

Key Responsibilities & Duties

• Design, build, and maintain scalable dbt models following modular, layered architecture.
• Own model performance: optimize Snowflake queries, configure materializations (incremental, table, view) and clustering strategies.
• Evolve dbt best practices: testing coverage, documentation, and source freshness checks.
• Code reviews for dbt PRs, establish modeling conventions, and contribute to the team's analytics engineering playbook.
• Design Snowflake database and schema structures, manage roles and access controls, and optimize warehouse sizing.
• Monitor and reduce compute costs through query profiling, result caching, and warehouse auto-suspend policies.
• Partner with Data Platform/Engineering on ingestion pipelines, Snowpipe configurations, and external stage setups.
• Use Claude and other AI tools as a force multiplier: accelerate model generation, documentation writing, SQL refactoring, and test creation.
• Champion AI-assisted workflows within the team, sharing effective prompting patterns and use cases that improve team velocity.
• Explore agentic analytics workflows and contribute to their adoption.
• Partner with engineers and business stakeholders to translate analytical requirements into robust data models.
• Guide and mentor Associate and mid-level Analytics Engineers through code reviews, pairing sessions, and knowledge sharing.
• Define team conventions around naming, folder structure, model contracts, and testing thresholds.

Skills & Qualifications

• 5+ years of experience in analytics engineering, data engineering, or a closely related data role.
• Expert-level dbt (Core or Cloud): layered modeling, advanced testing, macros, packages (dbt-utils, dbt-expectations), and CI/CD integration.
• Deep Snowflake expertise: query optimization, materialization strategies, clustering and access control.
• Advanced SQL and performance tuning.
• Strong understanding of data modeling concepts.
• Experience building or maintaining BI semantic layers and working with tools such as Sigma, Looker, Tableau, or Power BI.
• Excellent documentation habits: you believe models without docs are technical debt.
• Strong written and verbal English communication - you can explain data decisions to both engineers and business stakeholders.

Strong Plus

• Hands-on experience with AI tools for development tasks: query writing, documentation, debugging, and code review.
• Python proficiency for data transformation tasks, pipeline scripting, or working with the dbt Python model interface.
• Experience with orchestration tools (Airflow, Dagster, or dbt Cloud jobs).
• Understanding of automotive parts, catalog, or marketplace data domains.
• Experience working in a product-led data team with exposure to event/product analytics.

Why You Should Join Us

Our vision is to make it fast and easy for auto repair shops to find the right parts across all of their suppliers with one search. Together, OEC's team helped countless businesses save valuable time so they can focus on their customers - and we're just getting started.

The position is fully remote, with the requirement to attend quarterly in-person meetings.